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A Network Analysis on the Forest Healing Issues Using Big Data – Focused on Korean Web News from 2005 to 2019 –
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빅데이터를 활용한 산림치유 이슈 네트워크 분석 - 2005~2019년까지의 국내 뉴스 기사를 중심으로 -

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Type
Academic journal
Author
Park Jin Seok (충북대학교) Yeon Poung Sik (충북대학교)
Journal
Korean Institute Of Forest Recreation and Welfare Journal of the Korean Institute of Forest Recreation Vol.24 No.2 KCI Accredited Journals
Published
2020.6
Pages
63 - 71 (9page)

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Background
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A Network Analysis on the Forest Healing Issues Using Big Data – Focused on Korean Web News from 2005 to 2019 –
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Abstract· Keywords

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This study was intended to derive issues related to forest healing by dividing them into three periods from 2005 to 2019. Naver News Big Data was used to collect data and frequency analysis was conducted on the collected data. As a result of the frequency analysis, the top 35 keywords were derived, and by time, the top keywords were found to be the creation, arboretum, Gyeongsangbuk-do, and II forest healing instructors, and the National, Healing Center, and Welfare Promotion Agency. However, these keywords are not independent but related to each other. Therefore, the structural isometric analysis (CONCOR) was conducted for the top 35 keywords for each period, and issues were drawn for each period. During I period, issues such as the importance of forest healing, the feasibility study of the National Forest Therapy Complex, the effect of phytoncide on stress, etc. and The II period is ‘Promotion of the Creation of National Baekdu National Forest Healing Complex’, ‘Early Forest Healing, Forest Education, and Forest Welfare Policies’ ‘Selection of Forest Healing Instructor’, ‘Creation of Forest Healing Space and Operation of Forest Healing Program’ and III period is ‘Promotion of National Forest Welfare Complex’, ‘ Establishment and Operation of National Forest Healing Infrastructure’ and Marine Healing’. The results of the above analysis indicated the flow of forest healing issues by time and hope to be used for the establishment of forest healing policies in the future.

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 연구 방법
Ⅲ. 연구결과
Ⅳ. 결론
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UCI(KEPA) : I410-ECN-0101-2020-525-000856991